PREFERENCE REASONING IN COMPUTATIONAL
SOCIAL CHOICE
Corso di Dottorato in Informatica – Università di
Padova – Giugno 2013
Maria Silvia Pini
Preference Reasoning
in Computational Social Choice
I want to show
the crucial role of preference reasoning in a new field of research called
Computational Social Choice, which is is an
interdisciplinary field of study at the interface of social choice theory and
computer science, promoting an exchange of ideas in both directions. On the one hand, it is concerned with the application of techniques
developed in computer science, such as complexity analysis or algorithm design,
to the study of social choice mechanisms, such
as voting procedures. On the other hand, computational social
choice is concerned with importing concepts from social choice theory into
computing. For instance, social welfare orderings originally developed to analyse
the quality of resource allocations in human society are
equally well applicable to problems in multiagent
systems or network design.
Program
1.
Introduction
2.
Voting procedures
3.
Impossibility theorems
4.
Strategic manipulation
5.
Circumventing manipulation
6.
Uncertainty in preference
aggregation
7.
Compact preference representation
8.
Stable matching problems
Timetable (Dipartimento di Matematica, Via Trieste 63,
35121 Padova)
– 12 hours
· Lunedì
17 Giugno 2013: 14:00 -17:00, aula 2BC30 (3h)
· Martedì
18 Giugno 2013: 11:00 - 13:00, aula 2BC30 (2h)
· Mercoledì
19 Giugno 2013: 14:00 - 17:00 aula 2BC30 (3h)
· Venerdì
21 Giugno 2013: 15:00 – 17:00, aula 2BC30 (2h)
· Venerdì
5 Luglio 2013: 15:00-17:00, aula 2BC30 (2h)
Lessons
I parte: Voting procedures and results
II parte: Circumventing manipulation and uncertainty
in preference aggregation
III parte:
Compact preference representations
and stable matching probems
Examination and grading
The students’ performance will
be assessed for each course via an academic paper where the student will relate his research area with some of the topics presented in the course.
This paper will be presented by the student during the last lesson.